A Conceptual Framework for Intelligent Power Distribution Transformers
K. Somasena Reddy
K. Somasena Reddy, Assistant Professor Ad Hoc, Department of CSE, JNTUACEA, Ananthapuramu (Andhra Pradesh), India.
Manuscript received on 25 February 2020 | Revised Manuscript received on 05 March 2020 | Manuscript Published on 15 March 2020 | PP: 97-99 | Volume-9 Issue-4S2 March 2020 | Retrieval Number: D10200394S220/2020©BEIESP | DOI: 10.35940/ijitee.D1020.0394S220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the agenda of developing smart cities there is huge demand for continuous power supply. Power distribution transformers play avital role in providing a reliable power supply. Failure of a transformer will lead to interruptions in power supply. Many parameters lead to transformer failures. Health monitoring of transformer using IoT technology may help take proactive maintenance steps instead of reactive maintenance. When we combine IoT with AI it will more effective and IoT devices will take decision on their own. This paper presents a conceptual framework of this concept which makes the IoT devices in the transformers to make real-time decisions with the use of AI.
Keywords: Smart Cities, Uninterrupted Power Supply, Distribution Transformer IoT, AI.
Scope of the Article: Patterns and Frameworks